Scholar Feed MCP server

Scholar Feed is a helper that connects your AI assistant to a big library of computer science and AI research papers. Instead of a flat list of results, it can rank papers by relevance, citation count, or rising impact, and trace who cites whom. It is handy if you read papers for work, study, or a literature review.

What this MCP server does

You ask your AI a question in plain words, like finding recent papers on a topic. Your AI passes that request to this helper, which searches the Scholar Feed index of 600k+ papers. The helper can also follow citation links, pull the full text of a paper by section, or export a BibTeX entry. Then your AI hands you back a ranked list, a summary, or a file you can use.

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What you can do with it

• Search papers by topic, category, or novelty score
• Find papers similar to one you already have
• Trace who a paper cites and who cites it
• Read a paper's full text by section
• Export BibTeX entries for your reference manager
• Find researchers working on a topic
• Save papers and collections to your own library

Try asking your AI

• “Search for recent papers on test-time compute scaling”
• “Find papers similar to 2401.04088 and export their BibTeX”
• “What's trending in cs.CV this week? Summarize the top 3.”
• “Who are the top researchers working on efficient LLM inference?”

What it gives back to you

You get back a ranked list of papers with titles, authors, years, categories, and links. You can also get a short summary of a paper, its citation lineage, or a BibTeX block you can copy. If you ask for a synthesis over your saved papers, you get an answer with citations to those papers. Everything shows up right in your chat.

Before you start

Who it's for

Researchers, students, and engineers who read computer science or AI papers and want quick search, citation tracing, and BibTeX export without leaving their AI assistant.